Neon consulting: serverless Postgres without the surprises
Neon separates Postgres storage from compute, which changes the operational math: compute can scale to zero when idle, storage grows independently, and any point in the database’s history can be branched into a full, writable copy in seconds. That architecture is genuinely useful — and it introduces decisions that classic Postgres never asked you to make. DEV3LOPCOM, LLC, a 100% onshore consultancy in Austin, Texas, helps teams adopt Neon deliberately instead of discovering its trade-offs in production.
Because Neon is real Postgres under the hood, everything we do in PostgreSQL consulting applies here: schema design, indexing, query plans, security. The Neon-specific work is what sits on top.
What we do on Neon projects
Three kinds of engagements come up most. First, migrations: moving an existing Postgres, RDS, or SaaS-locked database into Neon with schema review, logical replication or dump-and-restore depending on downtime tolerance, connection-string cutover, and a rehearsed rollback. Second, branching workflows: wiring database branches into your development process so every preview deployment, migration test, or data experiment runs against an isolated copy of production-shaped data instead of a stale seed script. Third, performance and cost tuning: right-sizing autoscaling limits, deciding when scale-to-zero helps and when cold starts make it the wrong default, and fixing the queries that keep compute awake.
Problems we fix
- Connection management done wrong for serverless. Functions that open a fresh Postgres connection per invocation will exhaust limits fast; we route through Neon’s pooled endpoint (PgBouncer-based) and keep session-dependent features on direct connections where they belong.
- Branches created enthusiastically and never deleted, quietly accumulating storage cost. We set lifecycle conventions and automate cleanup.
- Cold-start latency surprising a latency-sensitive API because scale-to-zero was left on for the wrong workload. We match suspend settings to each environment’s real traffic.
- Migration plans with no rollback. Neon’s point-in-time branching actually makes rollback rehearsal cheap — we use it, and we test the restore before cutover, not after.
- Application code that assumes a single long-lived database. We adjust ORMs, migration tooling, and CI so branch-per-preview works end to end.
Why dev3lop
We are practitioners, not resellers. Our team has run data infrastructure under enterprise load — streaming data across 80+ campuses for ExxonMobil, pipeline consolidation at Lever that saved an estimated 22,000 hours a year — and we bring the same discipline to a startup’s Neon instance: documented decisions, tested recovery, and handoff your own engineers can run with. When Neon is the application database and analytics is the goal, we connect it to warehouses and dashboards through production data pipelines rather than letting reporting queries fight your app for compute.
Neon is also our default recommendation when a team wants Postgres with modern developer ergonomics and no server babysitting — but we’ll tell you plainly when plain RDS or self-hosted Postgres fits your constraints better. The recommendation comes from your workload, not from anyone’s affiliate program.
Start the conversation
Whether you’re evaluating Neon, mid-migration, or already live and staring at an odd bill, a short assessment will surface the real issues quickly. Contact us with where you are today and where the pain is — we’ll respond with a concrete scope, not a sales sequence.